深圳市浴场用海定级研究

海域分等定级是制定海域使用金征收标准和开展海域资产价格评估的前提和依据。借鉴《海域定级技术指引(试行)》,遵循资源禀赋差异、收益差异、节约利用和生态用海的原则选取海域自然条件和海域区位条件2个定级因素及海水质量、海洋自然灾害等10个评价因子,构建深圳市浴场用海定级的评价指标体系。采用综合指数评价法计算出207个评价单元的得分情况,通过聚类分析方法和变异系数(CV)来校核级别,最终将浴场用海的海域划分为Ⅰ级(22.22%)、Ⅱ级(33.82%)和Ⅲ级(43.96%)3个级别。研究成果为海洋管理部门制定浴场用海不同级别的基准价格提供了依据。     

基于浮标资料的中国东部海域最大波高特征分析

利用原国家海洋局2010—2015年的浮标资料,计算渤、黄、东海有效波高和最大波高的线性关系,并通过1992—2011年共20 a的数值模拟有效波高资料计算中国东部海域各月的2.5 m、4 m、6 m以上最大波高频率和最大波高月极值分布。结果发现:中国东部海域由北至南,最大波高与有效波高的比值逐渐增大;最大波高频率和最大波高月极值空间分布均由渤海、黄海至东海逐渐增大,最大波高频率的极值12月最大,4或5月最小,最大波高月极值9月最大,4月最小。其时空分布表明:受不同天气系统影响,夏秋季台风较多,容易出现极值较大的最大波高;秋冬季冷空气较强,虽然最大波高极值相对较小,但大浪持续时间长、频率大、影响范围广。     

基于GF-3的不同极化方式SAR图像海面油膜识别的比较 ——以"桑吉"轮事故为例

基于我国自主研发的首颗分辨率达到1m的C频段多极化合成孔径雷达高分三号卫星(GF-3),通过典型溢油案例定性和定量地比较了双极化与单极化图像预处理性能,分析了不同的极化组合对海面油膜识别结果的影响。得出结论:同向极化与异向极化成像差异明显,VV极化明显比VH极化回波强度高,并且油膜识别度较高;相反,双极化VHVV方式与单极化VH方式图像效果区别不大,双极化方式并不能绝对性地提高地物识别度。     

正交试验优选复方莪术散的提取工艺及其颗粒制备工艺研究

目的：优选复方莪术散颗粒的最佳提取与颗粒制备工艺,为该复方的开发利用提供试验依据。方法：采用正交试验法对复方莪术散进行提取,以淫羊藿苷的含量和收率综合评价为指标,通过L_{9（3^{4）正交试验设计对醇的用量、提取的时间和提取次数进行考察,优选复方莪术散的醇提取工艺,再以浸膏为原料,通过L9（34）正交试验设计考察稀释剂（可溶性淀粉）的比例及粘合剂（乙醇）的浓度和干燥温度,制备复方莪术散颗粒。结果：复方莪术散提取最佳工艺为A2B22C11D1,即处方药材加60%浓度的10倍剂量的乙醇,提取2次,每次1.5h为最优。最佳制备工艺为A3B2C2,即干浸膏∶淀粉的比例为1∶2.5,并以90%乙醇为湿润剂,采用湿法制粒的方法,干燥温度为60℃,所制得颗粒剂经检查符合相关要求。结论：本试验所得复方莪术散颗粒剂的提取与制备工艺合理、可行,为该复方的开发利用提供了试验依据。}}     

BDS3新试验卫星测距信号质量分析

中国的北斗卫星导航系统按照“三步走”的发展战略稳步推进,目前正处于第二代区域卫星导航系统向第三代全球卫星导航系统发展的关键时期。在郑州设置实验测站,实地采集BDS3新试验卫星的数据,分别从卫星可见数、信号频点、载噪比、伪距观测噪声值、多路径效应等方面分析BDS3试验卫星测距信号的质量。结果表明:对于相同频点,不同卫星的载噪比、伪距噪声、多路径效应变化略有不同,一般而言,倾斜同步轨道卫星(IGSO)的性能优于中轨道卫星(MEO)的性能;相同轨道类型的卫星,载噪比、伪距噪声、多路径效应水平相似,并且载噪比、伪距噪声、多路径效应在各个频点的相对大小关系基本一致。     

机载多光谱LiDAR的随机森林地物分类

机载多光谱LiDAR技术利用激光进行探测和测距,不仅可以快速获取地面物体的三维坐标,还可以获得多个波段的地物光谱信息,可广泛用于地形测绘、土地覆盖分类、环境建模、森林资源调查等。本文提出了多光谱LiDAR的随机森林地物分类方法。该方法通过对LiDAR强度数据和高程数据提取分类特征,完成多光谱LiDAR的随机森林地物分类;并分析随机森林的特征贡献度特性,采用后向特征选择方法实现分类特征选择。通过对加拿大Optech Titan多光谱LiDAR数据的试验表明：随机森林方法可以获得较好的地物分类精度,而且可以适当地去除部分冗余和相关的特征,从而有效提高分类精度。     

Retrieving volume FeO and TiO_2 abundances of lunar regolith with CE-2 CELMS data using BPNN method

The volume FeO and TiO_2 abundances(FTAs) of lunar regolith can be more important for understanding the geological evolution of the Moon compared to the optical and gamma-ray results. In this paper, the volume FTAs are retrieved with microwave sounder(CELMS) data from the Chang'E-2 satellite using the back propagation neural network(BPNN) method. Firstly, a three-layered BPNN network with five-dimensional input is constructed by taking nonlinearity into account. Then, the brightness temperature(TB) and surface slope are set as the inputs and the volume FTAs are set as the outputs of the BPNN network.Thereafter, the BPNN network is trained with the corresponding parameters collected from Apollo, Luna,and Surveyor missions. Finally, the volume FTAs are retrieved with the trained BPNN network using the four-channel TBderived from the CELMS data and the surface slope estimated from Lunar Orbiter Laser Altimeter(LOLA) data. The rationality of the retrieved FTAs is verified by comparing with the Clementine UV-VIS results and Lunar Prospector(LP) GRS results. The retrieved volume FTAs enable us to re-evaluate the geological features of the lunar surface. Several important results are as follows. Firstly, very-low-Ti(<1.5 wt.%) basalts are the most spatially abundant, and the surfaces with TiO_2> 5 wt.% constitute less than 10% of the maria. Also, two linear relationships occur between the FeO abundance(FA) and the TiO_2 abundance before and after the threshold, 16 wt.% for FA. Secondly, a new perspective on mare volcanism is derived with the volume FTAs in several important mare basins, although this conclusion should be verified with more sources of data. Thirdly, FTAs in the lunar regolith change with depth to the uppermost surface,and the change is complex over the lunar surface. Finally, the distribution of volume FTAs hints that the highlands crust is probably homogeneous, at least in terms of the microwave thermophysical parameters.     

A new method to determine the gravity field of small bodies from line-of-sight acceleration data

We present a new method to derive line-of-sight acceleration observables from spacecraft radio tracking data. The observables can be used to estimate the mass and gravity of a natural satellite as a spacecraft flyby. The corresponding observation model adapts to one-way and two/three-way tracking modes. As a test case for method validation and application, we estimated the mass and degree two gravity field for the Martian moon Phobos using simulated tracking data when the spacecraft Mars Express flew by Phobos on 2013 December 29. We have a few real tracking data during flyby and they will be used to confirm raw data simulation. The main purpose of this paper is to demonstrate the method of line-of-sight acceleration reduction from raw tracking data and the feasibility to estimate mass and gravity of a natural satellite using this type of observable. This novel method is potentially applicable to planet and asteroid gravity field studies combined with Doppler tracking data.     

顾及局部与结构特征的稀疏多项式逻辑回归高光谱图像分类方法

稀疏多项式逻辑回归在分类中仅利用图像光谱信息,导致分类效果不太理想.本文提出了一种顾及局部与结构特征的稀疏多项式逻辑回归高光谱图像分类方法.首先利用加权均值滤波与拓展形态学多属性剖面对原始高光谱图像进行局部与结构特征提取;然后对二者进行加权平均特征级融合以获取更具唯一性的像元特征;最后由稀疏多项式逻辑回归分类器对融合结果进行分类.结果表明,本文方法能有效地提高分类精度,而且具有较强的稳健性.     

滕州荆泉水源地岩溶塌陷特征与成因分析

自2015年6月以来,在山东滕州荆泉水源地范围内连续发生多起岩溶塌陷。通过研究区域地质条件,在已有认识的基础上分析得出发育的浅层开口岩溶洞隙的存在,一定厚度的松散覆盖层及地下水位大幅下降是该区产生岩溶塌陷的基本条件。阐述了岩溶塌陷形成发育过程及影响因素,得出长期过量抽采岩溶水是区内岩溶塌陷的主要因素,合理减少地下水开采量是预防岩溶塌陷最有效的方法。